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Pro-girl Bias in Intra-household Allocation in the Rural Philippines: Revisiting the “Adult Goods” Approach

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  • Nobuhiko Fuwa

Abstract

This paper detects pro-girl (age 5–15) bias in intra-household allocation of consumption budget in the rural Philippines using Deaton's “adult goods” method. Based on additional checks (including those for endogeneity), the results appear to be robust. The paper also finds that a larger share of girls among household members is positively associated with a larger budget share on transportation, suggesting that parents pay more for girls' transportation, possibly because of safety concerns. The results also suggest that, despite some earlier results in the literature, the adult goods method is capable of detecting gender bias, although alcohol and tobacco may not be suitable for detecting gender bias.

Suggested Citation

  • Nobuhiko Fuwa, 2014. "Pro-girl Bias in Intra-household Allocation in the Rural Philippines: Revisiting the “Adult Goods” Approach," Review of Development Economics, Wiley Blackwell, vol. 18(4), pages 727-740, November.
  • Handle: RePEc:bla:rdevec:v:18:y:2014:i:4:p:727-740
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    File URL: http://hdl.handle.net/10.1111/rode.12115
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    1. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    2. Anne Case & Angus Deaton, 2002. "Consumption, health, gender and poverty," Working Papers 261, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
    3. Quisumbing, Agnes R. & Estudillo, Jonna P. & Otsuka, Keijiro, 2004. "Land and schooling: transferring wealth across generations," Food policy statements 41, International Food Policy Research Institute (IFPRI).
    4. John Gibson & Scott Rozelle, 2004. "Is it Better to be a Boy? A Disaggregated Outlay Equivalent Analysis of Gender Bias in Papua New Guinea," Journal of Development Studies, Taylor & Francis Journals, vol. 40(4), pages 115-136.
    5. Browning, Martin & Francois Bourguignon & Pierre-Andre Chiappori & Valerie Lechene, 1994. "Income and Outcomes: A Structural Model of Intrahousehold Allocation," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1067-1096, December.
    6. Haddad, Lawrence & Kanbur, Ravi, 1990. "How Serious Is the Neglect of Intra-Household Inequality?," Economic Journal, Royal Economic Society, vol. 100(402), pages 866-881, September.
    7. Ahmad, A. & Morduch, J., 1993. "Identifying Sex Bias in the Allocation of Household Resources: Evidence from Linked Household Surveys from Bangladesh," Harvard Institute of Economic Research Working Papers 1636, Harvard - Institute of Economic Research.
    8. repec:pri:cheawb:case_deaton_consumption_health_gender is not listed on IDEAS
    9. Kingdon, Geeta Gandhi, 2005. "Where Has All the Bias Gone? Detecting Gender Bias in the Intrahousehold Allocation of Educational Expenditure," Economic Development and Cultural Change, University of Chicago Press, vol. 53(2), pages 409-451, January.
    10. Browning, Martin, 1992. "Children and Household Economic Behavior," Journal of Economic Literature, American Economic Association, vol. 30(3), pages 1434-1475, September.
    11. repec:pri:cheawb:case_deaton_consumption_health_gender.pdf is not listed on IDEAS
    12. Strauss, John & Beegle, Kathleen, 1996. "Intrahousehold Allocations: A Review of Theories, Empirical Evidence and Policy Issues," Food Security International Development Working Papers 54688, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    13. Nobuhiko FUWA & Seiro ITO & Kensuke KUBO & Takashi KUROSAKI & Yasuyuki SAWADA, 2006. "Gender Discrimination, Intrahousehold Resource Allocation, And Importance Of Spouses’ Fathers: Evidence On Household Expenditure From Rural India," The Developing Economies, Institute of Developing Economies, vol. 44(4), pages 398-439, December.
    14. World Bank, 2013. "World Development Indicators 2013," World Bank Publications - Books, The World Bank Group, number 13191, December.
    15. Deaton, Angus S, 1989. "Looking for Boy-Girl Discrimination in Household Expenditure Data," The World Bank Economic Review, World Bank, vol. 3(1), pages 1-15, January.
    16. repec:pri:rpdevs:case_deaton_consumption_health_gender is not listed on IDEAS
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    More about this item

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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